Adonis vs Candid Health (2026)

The platforms Adonis works with are Epic, athenahealth, AdvancedMD, ModMed, NextGen, Availity, Change Healthcare, Office Ally, Canvas and one cloud EHR it does not name. Through them Adonis harmonizes EHR, practice management, billing and patient portal data. Agents write updates directly back into the practice management system and handle payer follow ups, status checks and appeals.

Sourceadonis.io/company/partners-integrationsread 2026-09-29

Out-of-the-box integrations cover EHRs (Healthie, Elation, Canvas, Medplum, Welkin, Avon and others), patient collections (Stripe, Cedar, Collectly) and lockbox, eligibility and credentialing partners, and the platform also supports native HL7v2 and a public API for custom integrations. The platform submits claims, and its AI agents do work in other platforms. Eligibility checks run through Availity, and the API also handles insurance discovery, coordination of benefits, and patient payments and refunds.

SourceCandid Health, docs.joincandidhealth.com llms.txt index and candidhealth.com/integrationsread 2026-10-05

Orchestration is one of Adonis's products, alongside Intelligence and AI Agents. It coordinates insight, action and automation so that resolved issues feed back into performance. Agents autonomously progress claims to resolution across appeal status inquiry, prior authorization, documentation needs, timely filing, coverage verification and denial reason workflows.

Sourceadonis.io/platform/orchestration and platform/adonis-ai-agentsread 2026-08-30

A configurable rules engine lets customers build custom business logic by payer, plan, location and provider and enforce their own workflows, and it edits and corrects claims end to end alongside AI agents. Pre service rule pipelines can be run on an encounter through the API, and teams can define custom schemas and metadata for their own fields.

SourceCandid Health, docs.joincandidhealth.com llms.txt index; candidhealth.com/automation-airead 2026-10-05

The platform continuously monitors the customer's data, sending real time alerts and actionable recommendations to catch and address RCM issues early, with automated A/R follow up and issue resolution. Intelligence continuously analyzes RCM data to anticipate denials. Work starts from the data, not from a user. Adonis does not describe the trigger mechanism in more detail.

Sourceadonis.io/solutions/revenue-cycleread 2026-09-29

The platform monitors claims 24/7, validating and autocorrecting billing data, and aims to submit and finalize claims without human intervention. Eligibility checks can also run in batches, and an Events API lets other systems read platform events.

SourceCandid Health, docs.joincandidhealth.com llms.txt index; candidhealth.com/automation-airead 2026-10-05

The agents are, in Adonis's words, context aware and purpose built for RCM. They are grounded in the customer's claims, denials, AR and payer behavior data, and the models learn from millions of claims. Intelligence tracks payer behavior and compliance requirements as they change. Adonis names no retrieval or knowledge base surface beyond that data.

Sourceadonis.io/platform/intelligence and platform/adonis-ai-agentsread 2026-08-30

Preconfigured payer rules are kept up to date with payer requirements and applied to each claim beside the customer's provider rosters, credentialing, contracts and fee schedules held in the platform. There is no separate knowledge store for the AI to search. Contracts, credentialing spans, fee schedules with their rate history and payer plan groups are all managed through the API.

SourceCandid Health, docs.joincandidhealth.com llms.txt index; candidhealth.com/automation-airead 2026-10-05

Within RCM workflows the agents are context aware, and the models learn from millions of claims across the customer base. Adonis describes no agent memory or state persistence layer.

Sourceadonis.io/platform/adonis-ai-agentsread 2026-08-30

Claim and administrative data are the billing record, and there is no separate memory for Candid's AI. That record includes the history of each patient, appointment and coverage, which the API returns.

SourceCandid Health, docs.joincandidhealth.com llms.txt index; candidhealth.com/data-reportingread 2026-10-05

The platform has a human in the loop design that, by Adonis's account, gives CIOs and CFOs governance and accountability. Smart Worklists prioritize critical exceptions for human teams while agents progress routine claims. Adonis names no approval gate, escalation threshold or configurable guardrail.

Sourceadonis.io Series C release and platform/intelligenceread 2026-08-30

Customers write the rules that bound what the engine changes and choose which rules run on an edited claim, and every remaining manual touch is tracked. The engine corrects claims instead of holding them for review, and no approval step comes before an agent action goes through. A Tasks API lets teams list, create and update tasks and the actions available on them.

SourceCandid Health, docs.joincandidhealth.com llms.txt index; candidhealth.com/blog/candid-health-wins-2026-medtech-breakthrough-award-for-ai-innovationread 2026-10-05

Adonis carries AICPA SOC and HIPAA Compliant badges, encrypts data in transit and at rest, and runs penetration testing and a secure development lifecycle. Role based access limits which Adonis personnel can reach sensitive data. Adonis names no SSO, customer roles or customer audit log, and no control that customers set themselves. It does not say which SOC 2 type it holds. A trust center sits at trust.adonis.io.

Sourceadonis.io/privacy-and-securityread 2026-09-29

A SOC 2 Type 2 examination by AssurancePoint closed with an unqualified opinion. SCIM 2.0 provisioning from Okta, Microsoft Entra or OneLogin assigns roles for each organization (Organization Admin, Biller, Editor, Viewer) with SSO. Further roles cover the front office, analytics, docs and machine to machine API access, and SSO is available to enterprise organizations.

SourceCandid Health, docs.joincandidhealth.com SCIM Provisioningread 2026-10-05

Performance tracking covers every agent workflow, with executive dashboards, drill down reports and AI powered alerting, all reporting on the revenue cycle in aggregate. Agent write backs land in the customer's own practice management record. Adonis describes no record or trace of each action the agents take.

Sourceadonis.io/platform/adonis-ai-agentsread 2026-09-29

Reporting runs in real time down to the individual claim, with exports of raw claim data and tracking of every remaining manual touch. Candid Data Share exports encounters, claim submission history, service lines, transactions, charges, payments and adjustments, and an Events API lists platform events. There is no record of what the rules engine or AI agents changed on each claim.

SourceCandid Health, docs.joincandidhealth.com llms.txt index and Candid Data Share; candidhealth.com/data-reportingread 2026-10-05

Delivery is SaaS, with infrastructure maintained in AWS and physical access restricted. Adonis names no region customers can choose and no VPC, on premises or self hosted option.

Sourceadonis.io/privacy-and-securityread 2026-08-30

Customers are not told where Candid hosts data, and there is no region choice, customer environment or on premises option. Its production and staging (sandbox) environments are API environments for testing and live use. The sandbox takes no PHI, returns sample eligibility data and never submits claims.

SourceCandid Health, docs.joincandidhealth.com Candid Environmentsread 2026-10-05

The AI Agents product ships named agent automations for distinct claim processes (Appeal Status Inquiry, Prior Authorization, Documentation Needs, Timely Filing, Verify Coverage and Unknown Denial Reason), each doing its own job. Adonis does not say whether each is sold separately.

Sourceadonis.io/platform/adonis-ai-agentsread 2026-09-29

Preconfigured payer rules and ready made logic ship with the rules engine, but the individual rule sets and what each does are not published. The API exposes pre service rule pipelines that can be run on an encounter, and guides cover patient invoicing and mocking eligibility checks.

SourceCandid Health, docs.joincandidhealth.com llms.txt index; candidhealth.com/automation-airead 2026-10-05

Adonis names no model provider and describes no routing between models, saying only that its agents are context aware and purpose built for RCM. It describes no way for customers or admins to select a model.

Sourceadonis.ioread 2026-08-30

Machine learning and large language models are named in the product without a provider, and customers cannot choose a model.

Sourcecandidhealth.com/blog/candid-health-wins-2026-medtech-breakthrough-award-for-ai-innovationread 2026-09-29

Access to the platform is through the application. The partners Adonis lists are ecosystem partnerships, and Adonis names no public developer API, SDK or MCP server.

Sourceadonis.ioread 2026-08-30

A public API reference at docs.joincandidhealth.com covers pre-encounter (eligibility, appointments, coverages, patients), encounters and service lines, claims, patient collections and financial transactions, with token authentication, an OpenAPI file, a Postman collection, staging and production environments and a SCIM 2.0 API. The reference also covers contracts, fee schedules, credentialing, write offs, refunds and tasks, and there is guidance on SDK setup, design principles and the policy for breaking changes. An MCP server lets AI agents read the documentation.

SourceCandid Health, docs.joincandidhealth.com overview and llms.txt indexread 2026-10-05

Operational reporting tracks performance across every agent workflow. Adonis names no testing, simulation, evaluation or regression tools that customers can use on agent behavior.

Sourceadonis.io/platform/adonis-ai-agentsread 2026-08-30

Machine learning and AI automate the feedback loop between claim insights and fixes deployed through the rules engine, Candid says. Candid does not explain how the loop works or report its results. There is no evaluation harness and there are no test cases. Fee schedules can be test matched before use, and the sandbox lets teams try an integration on fake data without submitting claims.

SourceCandid Health, docs.joincandidhealth.com Candid Environments and llms.txt index; candidhealth.com/automation-airead 2026-10-05

Agents act on revenue cycle data and write back into the practice management system, and payer portals are among the systems Adonis connects to. Adonis names no browser control, screen automation or computer use.

Sourceadonis.io/platform/adonis-ai-agentsread 2026-08-30

Candid deploys AI agents that perform tedious work in other platforms. Candid names neither those platforms nor the mechanism the agents use in them.

Sourcecandidhealth.com/blog/candid-health-wins-2026-medtech-breakthrough-award-for-ai-innovationread 2026-09-29